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PhD Candidate

BBiomedSc (Hons)


Daniel is a PhD candidate who is working with families to better characterise a rare, neurodevelopmental disorder called MECP2 duplication syndrome (MDS).

Daniel knows that a key aspect of finding a cure for this disorder is understanding the natural history of MDS in order to identify therapeutic targets and better inform the development of orphan products.

As part of his research, Daniel has created the world’s first and largest patient database for MDS called the MECP2 Duplication Database (MDBase) which has been and will continue to serve as an important source of natural history data for research.

Daniel will continue to expand the clinical picture of MDS in the future utilising the MDBase and provide greater insight into the disorder.